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Students: Craig Black David Choi Fabien Defays Michael Northrop Peng Pan |
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Professors: Kevin Lynch |
Dynamic ManipulationBy not grasping, a simple robot with few degrees-of-freedom can control an object with more degrees-of-freedom by exploiting dynamic effects, such as centrifugal and Coriolis forces. These extra degrees-of-freedom come from manipulation phases such as controlled slipping and rolling. In contrast, a robot that carries an object with a firm grasp requires as many degrees-of-freedom as those of the object it wishes to control.Our work on dynamic manipulation has been on motion planning, feedback control, and implementation of robotic tasks such as dynamically snatching an object from a table (using inertial forces to keep the object fixed to the robot), rolling an object on the surface of the manipulator, and throwing and catching. Nonlinear optimization is used to plan robot trajectories that achieve the desired motion via coupling forces through the nonprehensile (graspless) contact.
See also:
Parts Feeding with Flatland,
Instructions (ps),
Description and hardware, or a
QuickTime video (2136K).
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